A systematic review of mechanistic studies on the relationship between pesticide exposure and cancer induction

Ataei, Mahshid; Abdollahi, Mohammad

doi:10.1016/j.taap.2022.116280

Cited by 16 publications

(9 citation statements)

References 122 publications

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“…In this case, dysfunction manifests at the mitochondrial level, leading to an intervention that halts the G0/G1 cell cycle, ultimately resulting in an elevation of programmed cell death. Moreover, certain herbicides have the potential to impact the regulation of p53 expression, which involves the activation of the p53 protein in response to oxidative stress and DNA damage [29,30].…”

Section: Risk Factorsmentioning

confidence: 99%

A Narrative Review of Current Knowledge on Cutaneous Melanoma

Caraban,

Aschie,

Deacu

et al. 2024

Clinics and Practice

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Cutaneous melanoma is a public health problem. Efforts to reduce its incidence have failed, as it continues to increase. In recent years, many risk factors have been identified. Numerous diagnostic systems exist that greatly assist in early clinical diagnosis. The histopathological aspect illustrates the grim nature of these cancers. Currently, pathogenic pathways and the tumor microclimate are key to the development of therapeutic methods. Revolutionary therapies like targeted therapy and immune checkpoint inhibitors are starting to replace traditional therapeutic methods. Targeted therapy aims at a specific molecule in the pathogenic chain to block it, stopping cell growth and dissemination. The main function of immune checkpoint inhibitors is to boost cellular immunity in order to combat cancer cells. Unfortunately, these therapies have different rates of effectiveness and side effects, and cannot be applied to all patients. These shortcomings are the basis of increased incidence and mortality rates. This study covers all stages of the evolutionary sequence of melanoma. With all these data in front of us, we see the need for new research efforts directed at therapies that will bring greater benefits in terms of patient survival and prognosis, with fewer adverse effects.

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Section: Risk Factorsmentioning

confidence: 99%

A Narrative Review of Current Knowledge on Cutaneous Melanoma

Caraban,

Aschie,

Deacu

et al. 2024

Clinics and Practice

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“…In vitro [ 9 ], animal [ 10 ], and human [ 11 ] investigations evidenced epigenetic modification by pesticides. Indeed, direct exposure to pesticides is the foremost reason for multiple forms of cancer globally [ 12 ], while their relationships with Parkinson’s disease, autism spectrum disorder, and other neurodevelopmental disorders are intensively studied. Although the effects of exposure to pesticides differ from person to person, for multiple reasons, pregnant women and children are more susceptible [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Inclusions of Pesticides by β-Cyclodextrin in Solution and Solid State: Chlorpropham, Monuron, and Propanil

et al. 2023

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Persistence and degradation are important factors in determining the safe use of such synthetic products, and numerous studies have been addressed to develop pesticide remediation methods aimed at ameliorating these features. In this frame, the use of different cyclodextrins (CDs) molecules has attracted considerable attention due to their well-known non-toxic nature, limited environmental impact, and capability to reduce the environmental and health risks of pesticides. CDs appear to be a valuable tool for the elimination of pesticides from polluted areas as well as for better pesticide formulations that positively influence their hydrolysis or degradation. The present work investigates the interaction between β-cyclodextrins and three commonly used pesticides (i.e., chlorpropham, monuron, and propanil) both in solution and in the solid state by means of UV-Vis, FT-IR, and X-ray powder diffractometry. We show that such interactions result in all three cases in the formation of inclusion complexes with a 1:1 stoichiometry and binding constants (Kb) of 369.9 M−1 for chlorpropham, 292.3 M−1 for monuron, and 298.3 M−1 for propanil. We also report the energy-minimized structures in silico for each complex. Our data expand and complement the available literature data in indicating CDs as a low-cost and very effective tool capable of modulating the properties that determine the environmental fate of pesticides.

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“…Spraying herbicides in weed-free areas results in the waste of herbicides and increases the cost of weeding [4]. Additionally, overuse of herbicides can hurt the farmland biodiversity and food safety [5]. Therefore, selective spraying equipment for reducing the use of herbicides has been widely studied [6].…”

Section: Introductionmentioning

confidence: 99%

Weed Density Detection Method Based on a High Weed Pressure Dataset and Improved PSP Net

Li,

Duan,

et al. 2023

IEEE Access

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Large-scale spraying on farmland is one of the most widely used weeding methods. Accurate weed density detection is of great significance for improving pesticide utilization and reducing environmental pollution. The purpose of this paper is to combine traditional image processing technology with deep learning technology to study semi-supervised annotation of the weed dataset and weed density detection method in a high-stress weed environment and provide a prescription map to guide variable spraying weeding operation. First, this paper uses a crop dataset to train U-Net to achieve crop segmentation and uses the color index and Otsu threshold segmentation algorithm to achieve vegetation segmentation. Then, weed segmentation is achieved by removing crop areas from vegetation segmentation results, and the segmentation results are made into a weed dataset. The improved PSP Net is trained using this dataset and weed segmentation is performed. The ratio of the number of weed pixels to the total number of pixels in the region is calculated for the obtained segmented image by region to measure the weed density. Finally, prescription maps representing different treatment intensities were generated based on the weed density threshold. Results indicate that EXG color index outperforms the other three indices for weed annotation. Compared with the original model, the MIoU, mPA, and Accuracy of the improved PSP Net model are increased by 2.15%, 0.92%, and 1.16%, respectively, and the model reasoning speed is increased by 6.9 times. The coefficient of determination between the predicted results of weed density and the manually labeled true values is 0.83, with a root mean square error of 0.17. The accuracy of the prescription map is 78%. The method proposed in this paper can effectively detect weed density in high-pressure weed environments and provide accurate prescription maps for variable spraying weed control.

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A systematic review of mechanistic studies on the relationship between pesticide exposure and cancer induction

Cited by 16 publications

References 122 publications

A Narrative Review of Current Knowledge on Cutaneous Melanoma

A Narrative Review of Current Knowledge on Cutaneous Melanoma

Inclusions of Pesticides by β-Cyclodextrin in Solution and Solid State: Chlorpropham, Monuron, and Propanil

Weed Density Detection Method Based on a High Weed Pressure Dataset and Improved PSP Net

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